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Cited by 6

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A mixed‐methods analysis of averted mass violence in schools: Implications for professional school counselors

Cowan, Rebecca G., Tedeschi, P. J., Corbin, Michael, Cole, Rebekah·2022·Psychology in the Schools

Abstract

The purpose of this study is to examine how recent incidents of planned mass violence in high schools within the United States were successfully averted. Using the Averted School Violence database, this study utilizes a mixed‐methods content analysis approach to analyze 82 incidents of averted mass violence in high schools that occurred post‐Columbine era. The following three themes were identified: attack motives and logistics, plot discovery, and attack aversion. Implications for professional school counselors in preventing similar mass violence attacks in the future are discussed, including fostering trusting relationships between students and adults, providing education to parents about social media platforms and proper firearms storage, establishing threat assessment teams, and educating parents, students, and school personnel about warning signs for violence.

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Metadata

Authors
Cowan, R. G., Tedeschi, P. J., Corbin, M., & Cole, R.
Affiliations
  • College of Social and Behavioral Sciences Walden University Minneapolis Minnesota USA
  • Disaster Mental Health Volunteer The American Red Cross of Greater New York Mineola New York USA
  • Department of Military and Emergency Medicine Uniformed Services University of the Health Sciences Bethesda Maryland USA
Venue
Psychology in the Schools
Publisher
Wiley
Published
2022-01-10
Volume
59
Issue
4
Pages
817-831
ISSN
  • 0033-3085
  • 1520-6807
Cited by
6
References
4
Language
en

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CoChat. (2026). Citation check: A mixed‐methods analysis of averted mass violence in schools: Implications for professional school counselors. https://app.cochat.ai/papers/10.1002/pits.22647
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Cowan, R. G., Tedeschi, P. J., Corbin, M., & Cole, R. (2022). A mixed‐methods analysis of averted mass violence in schools: Implications for professional school counselors. Psychology in the Schools. https://doi.org/10.1002/pits.22647

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.